MRI-mediated intelligent multimodal imaging system: from artificial intelligence to clinical imaging diagnosis

  • Yanchen Li
  • , Jin Wang
  • , Xiaoyan Pan
  • , Yuanyuan Shan
  • , Jie Zhang

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

MRI, as a mature diagnostic method in clinical application, is favored by doctors and patients, there are also insurmountable bottleneck problems. AI strategies such as multimodal imaging integration and machine learning are used to build an intelligent multimodal imaging system based on MRI data to solve the unmet clinical needs in various medical environments. This review systematically discusses the development of MRI-guided multimodal imaging systems and the application of intelligent multimodal imaging systems integrated with artificial intelligence in the early diagnosis of brain and cardiovascular diseases. The safe and effective deployment of AI in clinical diagnostic equipment can help enhance early accurate diagnosis and personalized patient care.

Original languageEnglish
Article number104399
JournalDrug Discovery Today
Volume30
Issue number7
DOIs
StatePublished - Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • AI
  • MRI
  • imaging diagnosis
  • intelligent diagnostic system
  • multimodal imaging

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